Artificial intelligence in perioperative medicine – a narrative review.

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Abstract

Recent advancements in artificial intelligence (AI) techniques have enabled the development of accurate prediction models using clinical big data. In the field of perioperative medicine, AI models for perioperative risk stratification, intraoperative event prediction, biosignal analysis, and intensive care medicine have been developed. Some of these models have been validated using external datasets and through randomized controlled trials. Once these models are implemented in electronic health record systems or software medical devices, they can help anesthesiologists improve clinical outcomes by accurately predicting complications and suggesting optimal treatment strategies in real-time. This review provides an overview of AI techniques used in perioperative medicine and a summary of the studies published using these techniques. Understanding these techniques will help in their appropriate application in clinical practice.